#Agent management
16 tools curated for you
Catch and fix AI failures before deployment by testing and debugging agents at scale Understand every decision your AI makes with complete visual access to agent logic Refine agent behavior with precision by observing operations in real-time Simulate complex scenarios to ensure predictable performance and minimize unexpected faults Increase the reliability of AI tools by illuminating model dynamics for advanced transparency
Deploy a complete AI workforce that codes, sells, and markets for you—by recruiting specialized AI agents for coding, sales, marketing, and operations roles. Keep every project moving forward without context loss—persistent memory ensures agent files, context, and learnings survive restarts so sessions never reset. Ship code faster with native terminal access and built-in version control—coding agents run commands and review PRs directly in the workspace. Generate more leads and close deals automatically—AI sales agents handle lead generation, follow-ups, and CRM management without manual effort. Publish content and schedule social posts on autopilot—marketing agents automate content creation, social media scheduling, and SEO optimization. Monitor every action your agents take in real time—all-in-one visual UI shows each step, not just the final output, giving full transparency. Scale your team securely with role-based access and audit logs—multi-user collaboration, private cloud, and SSO support enterprise workflows. Protect sensitive data with encryption, two-way sync, and real-time backup—agents operate in isolated drive sandboxes with strict permission controls. Process any file type including PDFs, videos, audio, images, PPTX, and DOCX with OCR—agents read and act on diverse media formats. Run multiple agents in parallel without dedicated hardware—cloud-native multitasking eliminates CLI setup and wasted API calls.
Scale your AI operations without bottlenecks by running tasks in parallel with clear ownership and explicit handoffs, powered by Plasma AI's coordinated agent network. Eliminate redundant work and accelerate outcomes as each new task starts with your AI ecosystem's complete shared knowledge, not from scratch. Maintain full command over autonomous agents by setting boundaries before work begins and intervening in real-time when results need adjustment. Build a permanent, auditable record of every decision and result, linking outcomes directly to the work and choices that produced them. Manage complex, multi-step projects reliably by using Fractal's recursive agent loops to break down and organize intricate workflows without losing structure. Create a reusable, indexed knowledge base that all agents access and contribute to using Wiki tools, ensuring your team's intelligence grows with every operation.
Automate complex, long-running tasks from data analysis to video generation with a single agent framework that plans, reasons, and executes sequentially or in parallel. Build custom AI agents by adding your own skill files or using the built-in library, extending functionality for specific needs without starting from scratch. Work in a secure, isolated environment using the persistent sandbox with a full file system to read, write, and run commands like a real computer. Create diverse content and analysis outputs—webpages, explainer comic strips, podcast summaries, and videos from scenes—using a single, unified agent framework. Collaborate and shape the tool's evolution within an open-source, community-driven framework that welcomes contributions and innovative ideas.
Get a fully functional AI agent on your own dedicated server in 15 minutes, without touching Docker, Python, or environment debugging, because the entire deployment pipeline is handled for you. Switch between Claude, ChatGPT, DeepSeek V4, and GLM models anytime from your dashboard, giving you complete control over your AI agent's intelligence without reconfiguration. Interact with your private AI agent directly from Feishu, Telegram, WeChat, QQ, or Discord, eliminating the need to learn a new interface for AI chatbot messaging integration. Keep your API keys and sensitive configurations entirely on your dedicated server, never passing through a third-party platform, ensuring private AI agent deployment with maximum data security. Enjoy guaranteed CPU, RAM, and bandwidth with a dedicated VPS included in every plan, avoiding shared resource bottlenecks for consistent AI agent performance. Receive 24/7 uptime monitoring with automatic restarts on crashes, so your AI agent stays online without manual intervention for reliable AI agent uptime. Customize your private AI agent with pre-built skills and your preferred LLM model through a simple four-step setup, enabling rapid AI agent customization for your specific workflow. Track every step of your deployment in real time, from server provisioning to delivery, gaining full transparency into your AI agent deployment tracking process. Access one year of professional email support and continuously updated tutorials, ensuring you always have guidance for managing your self-hosted AI agent without technical skills.
Deploy your own AI agents in minutes using a single Docker image, eliminating complex setup and external cloud dependencies. Mix and match models from Claude, OpenAI, and Gemini within the same workflow, tailoring agent behavior to each task without vendor lock-in. Run agents entirely offline using local models through Ollama, ensuring data privacy and zero reliance on external API keys. Automate browser tasks, code reviews, and fault tolerance workflows with the built-in tool layer and bundled database for memory and search. Skip external database setup entirely—the platform includes a single bundled database for storage and search, streamlining deployment. Configure agent memory, model selection, and system settings through comprehensive documentation, enabling deep customization without guesswork.
Deploy production-ready AI agents instantly with Foundry's cloud-hosted, pre-configured instances and native nanopayment settlement Eliminate vendor lock-in by switching between 50+ AI models (GPT, Claude, Gemini) through a single unified endpoint Execute autonomous machine-to-machine transactions at machine speed using Circle Nanopayments or Machine Payments Protocol (MPP) Extend agent capabilities on demand with composable skills for search, data enrichment, social media, finance, and SaaS tool integration Generate code, perform reasoning tasks, and process multimodal inputs by routing requests to the optimal model via the unified gateway Integrate agents frictionlessly using the nanopayment-enabled API, comprehensive documentation, and agent discovery platform
Eliminate unauthorized AI agent actions by enforcing granular policies defined in YAML for every AWS action, git repository, and tool each agent can touch. Maintain a complete, queryable audit trail for every tool call, approval, and API request—streamable to any S3 bucket for compliance reporting. Prevent costly mistakes and data breaches by requiring human-in-the-loop approvals for risky operations, with instant notifications via Slack or Telegram. Keep AI agents running without interruption by automatically rerouting to a backup provider when the primary fails—zero code changes required. Control AI agent spending precisely with per-project token budgets, rate limiting, and spend alerts that show exactly what each agent costs. Accelerate agent deployment through integrated CI/CD, code review, and testing workflows that enforce code quality before release. Achieve full traceability and accountability for every human-AI collaboration, from access permission requests to invoice approvals, with every interaction logged. Orchestrate multiple AI agents seamlessly with agent-to-agent messaging, live session tracking, and a real-time dashboard showing each agent's current task. Connect any AI provider—Claude Code, Codex, and more—using API key or OAuth, with the flexibility to mix providers and set fallbacks in a single policy. Eliminate infrastructure overhead by relying on a fully managed platform that handles Postgres, Redis, uptime, backups, and upgrades—just use a URL and dashboard.
Deploy production-ready AI agents instantly with cloud-hosted instances pre-configured for workloads from day one, powered by the Foundry feature Access over 50 AI models including GPT, Claude, and Gemini through a single unified endpoint, eliminating the complexity of managing multiple integrations Extend agent capabilities on demand with pre-built composable skills for search, finance, social media, and SaaS tools, enabling specialized workflows without custom coding Enable autonomous machine-to-machine transactions at machine speed with nanopayment-enabled API endpoints, supporting Circle Nanopayments and MPP for per-call settlements Migrate and integrate AI agents frictionlessly across providers using a unified gateway, removing vendor lock-in and simplifying multi-model deployments Accelerate reasoning, code generation, and multimodal understanding tasks by routing requests to the optimal model through a single centralized access point Streamline agent onboarding with comprehensive tutorials, API documentation, and an agent discovery platform that provides integration guides and plugin manifests
Ship AI agents that automatically learn from mistakes and improve task accuracy over time, powered by continuous iteration and refinement with the Datasets Agent IDE Experiments framework. Catch production-critical errors before deployment by running large-scale simulations and synthetic data generation, preventing costly system breakdowns. Reduce AI agent development costs with built-in LLM Cost Calculator and Evaluation TCO Calculator, giving precise budget control from prototype to production. Maintain peak agent performance in production with real-time dashboards, tracing, and alerting systems that instantly flag issues via the Error Feed. Scale AI operations safely from startup to enterprise without learning through expensive failures, using robust testing and evaluation tools for every stage. Accelerate developer onboarding with comprehensive API references, SDK references, and integration guides that shorten the path from concept to deployment.
Run AI agents on real hardware-isolated Linux machines that keep working state intact across restarts, eliminating lost progress and reruns Deploy agent-built applications instantly through an HTTPS URL that goes live exactly where it was created, with zero migration steps Recover from any failure in seconds by rolling back to an automatic checkpoint stored on infinitely scalable object storage Cut infrastructure costs by letting idle agents sleep and wake with complete memory of their last checkpointed state, paying only for used disk space up to 100GB Protect user data with hardware-isolated VMs, isolated machine processes, restricted shared state access, and egress policies that keep credential tokens out of agents Scale from side project to full production on the same API and primitives, avoiding rearchitecting or platform migration as volume grows Free administrators from setup work by letting agents handle configuration while disk storage scales automatically without upfront sizing Connect organization-wide services once through the Sprites Connector, removing the need to paste tokens into every individual agent
Ship agent skills without security incidents using pre-install security scans, policy gating, and audit logs on every skill before it runs Grow team capabilities without skill sprawl by managing every skill through a shared registry, version management, and contribution governance Eliminate duplicated skill-building work through a shared registry and contribution governance that turn good work into reusable, governed assets Know exactly which skills are installed versus actually used with visibility into published skills, project coverage, and real activation data on developer machines Find and close performance gaps fast through team-wide skill evaluations and insights that surface improvement areas from real activation data Pass enterprise security reviews with automated enforcement of security standards, full skill inventory, and audit logs across every team Scale agent skill adoption confidently with a control plane that monitors running activity and validates and scores skills before installation
Run dozens of AI agents simultaneously on the same files without conflicts using instant branches that let each agent modify files concurrently instead of sequentially. Get a complete, verifiable audit trail of every agent action and file change through a single API that tracks version history and diffs across any two states. Stop rogue agent operations mid-execution with the ability to pause any agent at any step, giving you precise command control and the flexibility to resume when ready. Keep sensitive repositories locked down with short-lived access tokens scoped to exactly the permissions each agent requires, so a compromised token never grants indefinite access. Version any file format—code, spreadsheets, images—so your agents work with the full range of enterprise data types without format restrictions. Share learned context and skills across your entire agent fleet by versioning memories and skills in a filesystem accessible to all agents, eliminating redundant learning. Execute Unix commands directly within the filesystem object, letting agents read, write, and run operations without leaving the versioned environment. Sync seamlessly with GitHub, GitLab, and BitBucket to manage high-volume enterprise workloads and coordinate workflows between your AI tool and existing coding platforms. Maintain human oversight with in-the-loop reviews and approvals that connect reviewers directly to agent operations for informed governance decisions.
Run AI agents safely across any framework or deployment model with an open platform that eliminates proprietary lock-in and adapts to your evolving AI landscape Securely manage AI agents throughout their entire lifecycle using the Agent Manager for operating, securing, observing, and evaluating agents at scale Enforce AI compliance and cost control with an AI Gateway that applies guardrails and monitors agent usage under a single governance model Protect enterprise data and services through fine-grained access control, delegation policies, and instant revocation using Agent ID for first-class agent identities Build AI agents and AI workflows faster with low-code and pro-code development experiences and connectors for seamless data and API integration Register, authenticate, and audit AI agents as first-class identities with Agent ID to strengthen security and governance across your infrastructure Maintain continuous access to enterprise information through standards-based interfaces and connectors that seamlessly integrate data, APIs, and services Immediately withdraw compromised or retired AI agent authorizations with instant revocation capabilities that improve enterprise security
Run AI agents as durable processes that survive system restarts, using Rivet's persistent process framework for uninterrupted agent orchestration Execute untrusted agent code safely inside agentOS, the isolated per-agent computer with secure code execution and file system access Prevent agent collisions with complete environment isolation, so each autonomous agent operates on its own dedicated agentOS instance without interference Trace every agent decision through session transcripts that record actions for audits, troubleshooting, and systemic improvement Build multi-step agent workflows that keep running after crashes or restarts, delivering reliable automation without manual recovery Ship agent-created backends as dynamic applications, turning agent output directly into deployable production services Monitor agent behavior in real time with full observability of agent actions, connection events, and application logs for fast debugging Plug Rivet into your existing backend infrastructure without rearchitecting, since it runs within current technologies and platforms Store agent state on your terms with Postgres or FoundationDB persistence options for flexible data storage Select only the Rivet stack layers you need, composing agent orchestration, agentOS, workflows, and deployment features to fit your build
Keep agents running for minutes, hours, or days without losing progress—every turn, tool call, and approval is durable state in a replayable event log, so agents survive crashes and resume exactly where they left off. Ship agents as reachable services your team and customers can access—a single API delivers durable execution, hosting, and state so you deploy agents instead of infrastructure. Protect sensitive operations with platform-enforced allow/ask/deny tool policies—risky actions require human approvals before they execute. Lock down credentials and data with scoped credentials, envelope-encrypted secrets using AES-256-GCM, and role-based access control. Prove compliance with an append-only, database-enforced audit history that records every agent action. Run agents on managed-pool VMs created and destroyed on demand, or connect your own devices and environments as live tools. Avoid model lock-in with model-agnostic support for OpenAI, Anthropic, OpenRouter, or self-hosted endpoints. Extend agent capabilities with MCP support, versioned skills, checkpoints, and durable artifacts. Own your data with a fully open-source, self-hostable platform that keeps everything in a database you can query, export, and control. Manage agents from anywhere with desktop and mobile apps at remote.omnara.com.